Category: Data Science

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In my last post, I mentioned that I was playing with R and some sensor data that we have here at home. After finding Roel M. Hogervorst‘s post on R-Bloggers about packaging your data, I figured I’d try this for my sensors dataset. If you are looking for an untidy dataset to play with in R, […]

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After seeing Brian Sherwin’s presentation on Jupyter notebooks and participating in Matthew Renze’s Practical Data Science with R Workshop at CodeMash 2017, I wanted to play with both technologies more. Here we are, many months later, and I still have that curiosity and excitement over both. So… I’m presenting to you one of my adventures […]

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For the past few weeks, I’ve been going through the Mastering Software Development in R specialization on Coursera. After Matthew Renze mentioned R Tools for Visual Studio (RTVS) during his workshop at CodeMash, I had to see what this was about. As I have been going through my courses – which use swirl() – I have […]

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About a week and a half ago, I started going through the R specialization on Coursera. These are some of my observations. Reminders of my Past As I work in RStudio and go through lessons on data tidying, querying for values, and creating functions, I am reminded of some of the courses I went through […]